| Autor: |
Cengizler, Çağlar, Kabakci, Ayse Gul, Bozkır, Dursun Murat, Eren, Dilek Sire, Bozkır, Memduha Gülhal |
| Předmět: |
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| Zdroj: |
Clinical, Cosmetic & Investigational Dermatology; Sep2023, Vol. 16, p2537-2546, 10p |
| Abstrakt: |
Objectively graded by evaluating data clusters formed using the extracted features. Accordingly, an increase in the visual similarity between paired facial regions is accepted as an indicator of healing, which directly affects the form of data clusters. An intracluster validity index was measured to evaluate the clusters as dense and well separated. A total of 144 facial regions were extracted and examined, and the automatically calculated grades were compared with expert evaluations.Results: The cosmetic effects of the experimental drug were evaluated during the experiments, and expert grades were accepted as the ground truth. The results show that the proposed automated grading approach can evaluate rejuvenation with an accuracy of up to 0.91 accuracy in the upper orbital region.Conclusion: This study concluded that the proposed data-clustering-based approach is promising and can be functional without any special instruments. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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